MathWorks utökar stödet för Xilinx Zynq-7000 All Programmable SoC-kretsar och Altera SoC-FPGA:er

MathWorks today announced its expanded support for targeting Altera^® SoC FPGAs and Xilinx^® Zynq^®-7000 All Programmable SoCs. The newest release of MATLAB and Simulink allows engineers and scientists using Model-Based Design to reduce their time-to-production with a higher degree of confidence, all within a single tool environment.

Devices in the Xilinx Zynq-7000 family and the Altera SoC family incorporate a dual-core ARM^® Cortex^®-A9 coupled with powerful programmable logic fabric. This combination enables engineers and scientists to design and implement algorithms on a single chip that consumes less space and power. Now, MathWorks provides a guided workflow to develop and simulate algorithms which can be validated quickly and deployed onto these SoC devices, leveraging automatically generated C and HDL code.  

In addition to existing support for the Xilinx ISE^® Design Suite and the Zynq Intelligent Drives Kit, the extended support provides integration with the Xilinx Vivado^® Design Suite, Zynq SDR development platforms, and Altera SoCs. As a result engineers and scientists can prototype quickly on a hardware platform and then incorporate the generated C and HDL code into production environments through the use of Altera and Xilinx tool sets.

“MathWorks expects semiconductor vendors to continue to expand their offerings of heterogeneous, programmable SoCs” said Amnon Gai, manager, corporate development and partner programs at MathWorks. “As applications are migrating from processor-only technology to programmable SoCs, the ability to generate C and HDL code from MATLAB and Simulink makes MathWorks uniquely positioned to address the growing demand for a unified hardware/software workflow using Model-Based Design.”

The expanded support for Xilinx Zynq-7000 All Programmable SoCs and Altera SoC FPGAs is currently available in Release 2014b. MathWorks also offers a two-day training class to help engineers get up and running quickly on this technology. For more information, visit the Release 2014b highlights page.